Apparatuses and methods for pseudo-random number generation

ABSTRACT

A method, apparatus, and computer program product for improved pseudo-random number generation are provided. An example method includes receiving, by a computing device, a request for a pseudo-random number, selecting, by extraction circuitry of the computing device, a first parameter from a server parameter dataset, and obtaining a first value for the first parameter. The method further includes selecting, by the extraction circuitry, a second parameter, and obtaining a second value for the second parameter. The method includes generating, by transformation circuitry, the pseudo-random number based on the first value and the second value.

CROSS REFERENCE TO RELATED APPLICATIONS

The present application is a continuation application of U.S. patentapplication Ser. No. 15/911,967, filed Mar. 5, 2018, which is herebyincorporated by reference in its entirety.

TECHNOLOGICAL FIELD

Example embodiments of the present invention relate generally topseudo-random number generation and, more particularly, to the use ofserver parameters to improve pseudo-random number generation.

BACKGROUND

While computing devices are capable of performing increasingly complexcalculations and functions, attempts at configuring a computing deviceto perform a truly random operation have largely failed. This isbecause, at a fundamental level, computing devices operate by followinginstructions to complete tasks. Due to their deterministic nature,computing devices struggle to generate truly random numbers, andhistorical tools for “random” number generation have been pseudo-random,insofar as they utilize methods and instructions that can be reproducedif the inputted data and transformations are known. In this way,computing devices attempt to mimic true statistical randomness but donot actually achieve it.

In some instances, pseudo-random numbers are used as a means forsecuring or otherwise authenticating a session or other interactionbetween two devices by serving as a unique session identifier.Traditional methods for generating pseudo-random numbers forauthenticating a session, however, have become increasingly susceptibleto attack as the availability of computing power has increased.Perpetrators now may utilize this increased computing power, along withaccess to a user's device or information, to exploit the vulnerabilityof traditional pseudo-random number generation techniques. Furthermore,due to the current prominence of data collection and the associatedquantity of information available about any particular user,pseudo-random numbers generated based upon a user's personal informationface an increased risk due to the increased likelihood that the personalinformation may be known by an attacker.

BRIEF SUMMARY

To address these issues and others, example implementations ofembodiments of the present invention may utilize a transformation orconvolution of independent server parameters to increase thesophistication of the pseudo-random number generation process andthereby reduce or eliminate the exposure of a pseudo-random numbergenerator to an attack that might work against more straightforwardpseudo-random number generation techniques. Embodiments of the presentdisclosure provide a hardened session identifier by transforming atleast one pseudo-randomly selected server parameter with at least oneother pseudo-randomly selected server parameter in order to generate aunique seed for generation of the pseudo-random number used to establisha corresponding secure session. For example, the method may select oneof various possible server parameters (e.g., processor core temperature,processor core voltage, dynamic random-access memory (“DRAM”)temperature, DRAM voltage, system temperature, system voltage, fanspeed, processor speed, processor core usage percentage, memory usagepercentage, cache usage percentage, or the like) of a server and thenobtain a value for the selected server parameter. The method may thentransform or convolute the server parameter data with a value obtainedfor another server parameter. The transformed or convoluted data is thenused to generate a pseudo-random number. In this way, exampleembodiments increase session security over techniques using moretraditional pseudo-random number generation methods by requiring aperpetrator to (1) access state information about an independentlyprotected server (e.g., supported or otherwise protected by anauthenticating entity) to extract each of a server's various operatingparameters, (2) select the correct server parameters, and (3) learn theappropriate transformation applied using the steps describe above.Traditional methods do not invoke all of these confounding steps and arethus more vulnerable to attack.

Systems, apparatuses, methods, and computer program products aredisclosed herein for improved pseudo-random number generation. In oneembodiment, with reference to the claimed method, a method generatingpseudo-random numbers is provided. The method may include receiving, bya computing device, a request for a pseudo-random number, selecting, byextracting circuitry of the computing device, a first parameter from aserver parameter dataset, and obtaining a first value for the firstparameter. The method may further include selecting, by the extractioncircuitry, a second parameter from the server parameter dataset, andobtaining a second value for the second parameter. The method mayinclude generating, by transformation circuitry of the computing device,the pseudo-random number based on the first value and the second value.

In some embodiments, the method may further include, in response toobtaining the second value for the second parameter, selecting, by theextraction circuitry, a third parameter from the server parameterdataset, and obtaining a third value for the third parameter. The methodmay further include generating, by the transformation circuitry, thepseudo-random number based on the third value. In such an embodiment,the method may further include, in response to obtaining the third valuefor the third parameter, selecting, by the extraction circuitry, afourth parameter from the server parameter dataset and obtaining afourth value for the fourth parameter. The method may further includegenerating, by the transformation circuitry, the pseudo-random numberbased on the fourth value.

In some embodiments, the method may further include receiving, bycommunications circuitry of the computing device, an instruction togenerate a session identifier from a first user device associated with afirst user. In such an embodiment, the method may include determining,by session establishment circuitry of the computing device, that therequest for the session identifier requires the pseudo-random number,and generating, by the session establishment circuitry, the sessionidentifier based upon the pseudo-random number. The method may furtherinclude transmitting the session identifier to the first user device.

In some embodiments, the method may further include generating, by thecomputing device, a data seed based on the pseudo-random number, whereinthe session identifier comprises the generated data seed. In some otherembodiments, the session identifier may include the pseudo-randomnumber. In some still other embodiments, the method may includetransmitting the session identifier to an external device.

In some embodiments, obtaining the first value, includes querying, bythe computing device, a server parameter dataset storing one or morepreviously acquired server parameters of the computing device.Similarly, obtaining the second value includes querying, by thecomputing device, the server parameter dataset storing one or moreparameters of the computing device to identify a value corresponding tothe identified second, wherein the second value comprises the identifiedvalue.

In such an embodiment, obtaining the second value may include generatinga value corresponding to the identified second parameter in response toidentification of the second parameter.

Furthermore, while the description above is made with reference to someof the method embodiments described herein, the present disclosurecontemplates that the corresponding functionality may be equally foundin or performed by the computer-readable storage memory or apparatus.

The above summary is provided merely for purposes of summarizing someexample embodiments to provide a basic understanding of some aspects ofthe invention. Accordingly, it will be appreciated that theabove-described embodiments are merely examples and should not beconstrued to narrow the scope or spirit of the invention in any way. Itwill be appreciated that the scope of the invention encompasses manypotential embodiments in addition to those here summarized, some ofwhich will be further described below.

BRIEF DESCRIPTION OF THE DRAWINGS

Having described certain example embodiments of the present disclosurein general terms above, reference will now be made to the accompanyingdrawings. Some embodiments of the present disclosure may include feweror more components than shown in the figures.

FIG. 1 illustrates a system diagram including devices that may beinvolved in some example embodiments described herein.

FIG. 2 illustrates a schematic block diagram of example circuitry thatmay perform various operations, in accordance with some exampleembodiments described herein.

FIG. 3 illustrates an example flowchart for pseudo-random numbergeneration, in accordance with some example embodiments describedherein.

FIG. 4 illustrates an example flowchart for session authentication basedon a generated pseudo-random number, in accordance with some exampleembodiments described herein.

FIG. 5 illustrates an example flowchart for obtaining a first valuecorresponding to a first parameter and one or more additional valuescorresponding to one or more additional parameters selected from aserver parameter dataset, in accordance with some example embodimentsdescribed herein.

DETAILED DESCRIPTION

Some embodiments of the present invention will now be described morefully hereinafter with reference to the accompanying drawings, in whichsome, but not all embodiments of the inventions are shown. Indeed, theseinventions may be embodied in many different forms and should not beconstrued as limited to the embodiments set forth herein; rather, theseembodiments are provided so that this disclosure will satisfy applicablelegal requirements. Like numbers refer to like elements throughout. Asused herein, the description may refer to a number production server asan example “apparatus.” However, elements of the apparatus describedherein may be equally applicable to the claimed method and computerprogram product. Thus, use of any such terms should not be taken tolimit the spirit and scope of embodiments of the present invention.

Overview

As noted above, methods, apparatuses, systems, and computer programproducts are described herein that provide solutions to the problemsidentified above, as well as to others. In one embodiment, a computingdevice (e.g., number production server 200) may receive a request for apseudo-random number. The computing device may, by extraction circuitry,select a first parameter (e.g., processor core temperature, processorcore voltage, DRAM temperature, DRAM voltage, system temperature, systemvoltage, fan speed, processor speed, processor core usage percentage,memory usage percentage, cache usage percentage, or the like) from aserver parameter dataset. The computing device may then obtain a firstvalue for the first parameter. The extraction circuitry may also selecta second parameter (e.g., another server parameter) and may obtain asecond value for the second parameter. The computing device may, bytransformation circuitry, generate the pseudo-random number based on thefirst value and the second value. This pseudo-random number maythereafter be used in a variety of different ways. For instance, it maybe used for generation of a unique session identifier for acommunication session between computing devices. As another example, thepseudo-random number may be used as the seed for still further datatransformations in support of a variety of operations in gaming devices,statistics, cryptography, or the like.

Definition of Terms

As used herein, the terms “data,” “content,” “information,” “electronicinformation,” “signal,” “command,” and similar terms may be usedinterchangeably to refer to data capable of being transmitted, received,and/or stored in accordance with embodiments of the present disclosure.Thus, use of any such terms should not be taken to limit the spirit orscope of embodiments of the present disclosure. Further, where a firstcomputing device is described herein to receive data from a secondcomputing device, it will be appreciated that the data may be receiveddirectly from the second computing device or may be received indirectlyvia one or more intermediary computing devices, such as, for example,one or more servers, relays, routers, network access points, basestations, hosts, and/or the like, sometimes referred to herein as a“network.” Similarly, where a first computing device is described hereinas sending data to a second computing device, it will be appreciatedthat the data may be sent directly to the second computing device or maybe sent indirectly via one or more intermediary computing devices, suchas, for example, one or more servers, remote servers, cloud-basedservers (e.g., cloud utilities), relays, routers, network access points,base stations, hosts, and/or the like.

As used herein, the term “comprising” means including but not limitedto, and should be interpreted in the manner it is typically used in thepatent context. Use of broader terms such as comprises, includes, andhaving should be understood to provide support for narrower terms suchas consisting of, consisting essentially of, and comprised substantiallyof.

As used herein, the phrases “in one embodiment,” “according to oneembodiment,” “in some embodiments,” and the like generally refers to thefact that the particular feature, structure, or characteristic followingthe phrase may be included in at least one embodiment of the presentdisclosure. Thus, the particular feature, structure, or characteristicmay be included in more than one embodiment of the present disclosuresuch that these phrases do not necessarily refer to the same embodiment.

As used herein, the word “example” is used herein to mean “serving as anexample, instance, or illustration.” Any implementation described hereinas “example” is not necessarily to be construed as preferred oradvantageous over other implementations.

As used herein, the terms “user device,” “first user device,” “mobiledevice,” “electronic device” and the like refer to computer hardwarethat is configured (either physically or by the execution of software)to access one or more services made available by the number productionserver (e.g., apparatus or computing device of the present disclosure)and, among various other functions, is configured to directly, orindirectly, transmit and receive data. Example user devices may includea smartphone, a tablet computer, a laptop computer, a wearable device(e.g., smart glasses, smart watch, or the like), and the like. In someembodiments, a user device may include a “smart device” that is equippedwith chip of other electronic device that is configured to communicatewith the external device via Bluetooth, NFC, Wi-Fi, 3G, 4G, 5G, RFIDprotocols, and the like. By way of a particular example, a user devicemay be a mobile phone equipped with a Wi-Fi radio that is configured tocommunicate with a Wi-Fi access point that is in communication with thenumber production server 200 or other computing device via a network.

As used herein, the terms “user profile” and “first user profile” mayrefer to a collection of settings, configurations, identifiers, data,and information associated with a specific user. A user profileconfigured in accordance with the present invention may be accessible byone or more of software applications that are supported by the computingdevice (e.g., number production server 200 in FIG. 1) or other externalserver or computing device (e.g., associated with a corporation, bankingentity, or other 3^(rd) party) and, thus, may includeapplication-specific preferences, settings, configurations, data, andinformation.

As used herein, the term “external device” refers to any object, device,or system which may be in network communication with the user device.For example, an external device may be an external server or computingdevice (e.g., associated with a corporation, banking entity, or other3^(rd) party) that may request, receive, and/or provide data to or fromone of the devices described above. By way of a more particular example,an external device may include a server of a bank, online vendor, or thelike configured to be located in secure communication with the userdevice via an authenticated session (e.g., via the pseudo-random numbertechniques described herein).

As used herein, the term “server parameter dataset” refers to a datastructure or repository for storing information regarding serverparameters that may be dynamically retrieved by a computing device. Byway of example, the server parameter dataset may identify serverparameters that have independent characteristics (i.e., no serverparameter is derivable solely from another server parameter). Moreover,the server parameter dataset may, in some embodiments, identify serverparameters, while in other embodiments the server parameter dataset mayidentify server parameters and also store server parameter valuescorresponding to one or more of the identified server parameters. Forinstance, one example server parameter may be a processor core usagepercentage parameter, and a value for this server parameter may beretrieved by a computing device (e.g., number production server,external device, user device, or the like) from an internal diagnosticssystem of the computing device. If a processor core usage percentageparameter value is retrieved periodically or at predefined times, thenthe server parameter dataset may store the retrieved processor coreusage percentage parameter values in connection with the times at whichthey are retrieved. Alternatively, the processor core usage percentageparameter value may simply be retrieved in near-real-time (e.g., at atime at which a request for the pseudo-random number was received by thecomputing device), or in real-time (e.g., at the time at which theprocessor core usage percentage parameter is selected for use inpseudo-number generation), in which case the server parameter datasetmay never actually store any values for the processor core usagepercentage parameter at all. Of course, this example is intended fordescriptive purposes only and it will be appreciated that the serverparameter dataset may comprise a repository identifying any number ofserver parameters beyond the processor core usage percentage parameter.Furthermore, as described hereafter, in some embodiments the serverparameter dataset may be a component of the number production server200. In this way, the server parameters user to generate a pseudo-randomnumber for use as a session identifier in authentication a session areknown only to the number production server 200.

As used herein, the term “computer-readable medium” refers tonon-transitory storage hardware, non-transitory storage device ornon-transitory computer system memory that may be accessed by acontroller, a microcontroller, a computational system or a module of acomputational system to encode thereon computer-executable instructionsor software programs. A non-transitory “computer-readable medium” may beaccessed by a computational system or a module of a computational systemto retrieve and/or execute the computer-executable instructions orsoftware programs encoded on the medium. Exemplary non-transitorycomputer-readable media may include, but are not limited to, one or moretypes of hardware memory, non-transitory tangible media (for example,one or more magnetic storage disks, one or more optical disks, one ormore USB flash drives), computer system memory or random access memory(such as, DRAM, SRAM, EDO RAM), and the like.

Having set forth a series of definitions called-upon throughout thisapplication, an example system architecture and example apparatus isdescribed below for implementing example embodiments and features of thepresent disclosure.

Device Architecture and Example Apparatus

With reference to FIG. 1, an example system 100 is illustrated with anapparatus (e.g., a number production server 200) communicably connectedvia a network 104 to a user device 106 and, in some embodiments, anexternal device 110. The example system 100 may also include a serverparameter dataset 112 that may be hosted by the number production server200 or by one or more other devices in communication with the numberproduction server 200 (e.g., separate devices within a secured intranetassociated with the number production server 200).

The number production server 200 may include circuitry, networkedprocessors, or the like configured to perform some or all of theapparatus-based (e.g., number production server-based) processesdescribed herein, and may be any suitable network server and/or othertype of processing device. In this regard, the number production servermay be embodied by any of a variety of devices. For example, the numberproduction server 200 may be configured to receive input data (e.g.,server parameter data) and may include any of a variety of fixedterminals, such as a server, desktop, or kiosk, or it may comprise anyof a variety of mobile terminals, such as a portable digital assistant(PDA), mobile telephone, smartphone, laptop computer, tablet computer,or in some embodiments, a peripheral device that connects to one or morefixed or mobile terminals. Example embodiments contemplated herein mayhave various form factors and designs, but will nevertheless include atleast the components illustrated in FIG. 2 and described in connectiontherewith. In some embodiments, the number production server 200 may belocated remotely from the user device 106, external device 110, andserver parameter dataset 112, although in other embodiments, the numberproduction server 200 may comprise the user device 106, external device110, and/or server parameter dataset 112. The number production server200 may, in some embodiments, comprise several servers or computingdevices performing interconnected and/or distributed functions. Despitethe many arrangements contemplated herein, the number production server200 is shown and described herein as a single computing device to avoidunnecessarily overcomplicating the disclosure.

The network 104 may include one or more wired and/or wirelesscommunication networks including, for example, a wired or wireless localarea network (LAN), personal area network (PAN), metropolitan areanetwork (MAN), wide area network (WAN), or the like, as well as anyhardware, software and/or firmware for implementing the one or morenetworks (e.g., network routers, switches, hubs, etc.). For example, thenetwork 104 may include a cellular telephone, mobile broadband, longterm evolution (LTE), GSM/EDGE, UMTS/HSPA, IEEE 802.11, IEEE 802.16,IEEE 802.20, Wi-Fi, dial-up, and/or WiMAX network. Furthermore, thenetwork 104 may include a public network, such as the Internet, aprivate network, such as an intranet, or combinations thereof, and mayutilize a variety of networking protocols now available or laterdeveloped including, but not limited to TCP/IP based networkingprotocols.

The user device 106 may be associated with a first user and first userprofile. Although a single user device associated with a correspondinguser profile is shown, the example system 100 may include any number ofuser devices that may be associated with various users and/or userprofiles. The user device 106 may be a cellular telephone (e.g., asmartphone and/or other type of mobile telephone), laptop, tablet,electronic reader, e-book device, media device, wearable, smart glasses,smartwatch, or any combination of the above.

The external device 110, as defined above, may be associated with anyentity that is not associated with the user device 106. By way of a moreparticular example, the external device 110 may include a server of abank, online vendor, or other 3^(rd)-party configured to be in securecommunication with the user device 106 via the network 104 (e.g., anauthenticated session). Although shown as a single external device 110,the system 100 may include any number of external devices.

In some embodiments, the user device 106 may be configured to request apseudo-random number (e.g., from the number production server 200). Theuser device 106 may also allow a user to provide input which may beconveyed to the number production server 200 via the network 104 asinput data. Input data may be generated via one or more input devicesincluding, without limitation, a touchscreen, microphone, camera,optical scanner, fingerprint reader, and/or motion sensor device (e.g.,an accelerometer, gyroscope, etc.).

The server parameter dataset 112 may be stored by any suitable storagedevice configured to store some or all of the information describedherein (e.g., memory 204 of the number production server 200 or aseparate memory system separate from the number production server 200,such as one or more database systems, backend data servers, networkdatabases, cloud storage devices, or the like provided by an externaldevice 110 (e.g., a banking entity or 3^(rd) party provider) or the userdevice 106). The server parameter dataset 112 may comprises datareceived from the number production server 200 (e.g., via a memory 204and/or processor(s) 202) or the user device 106, and the correspondingstorage device may thus store this data.

As illustrated in FIG. 2, the number production server 200 may include aprocessor 202, a memory 204, input/output circuitry 206, andcommunications circuitry 208. Moreover, number production server 200 mayinclude extraction circuitry 210, transformation circuitry 212, and, insome embodiments, session establishment circuitry 214. The numberproduction server 200 may be configured to execute the operationsdescribed below in connection with FIGS. 3-5. Although components202-214 are described in some cases using functional language, it shouldbe understood that the particular implementations necessarily includethe use of particular hardware. It should also be understood thatcertain of these components 202-214 may include similar or commonhardware. For example, two sets of circuitry may both leverage use ofthe same processor 202, memory 204, communications circuitry 208, or thelike to perform their associated functions, such that duplicate hardwareis not required for each set of circuitry. The use of the term“circuitry” as used herein includes particular hardware configured toperform the functions associated with respective circuitry describedherein. As described in the example above, in some embodiments, variouselements or components of the circuitry of the number production server200 may be housed within one or more of the first user device 106 or theexternal device 110. As indicated previously, it will be understood inthis regard that some of the components described in connection with thenumber production server 200 may be housed within one of these devices,while other components are housed within another of these devices, or byyet another device not expressly illustrated in FIG. 1.

Of course, while the term “circuitry” should be understood broadly toinclude hardware, in some embodiments, the term “circuitry” may alsoinclude software for configuring the hardware. For example, although“circuitry” may include processing circuitry, storage media, networkinterfaces, input/output devices, and the like, other elements of thenumber production server 200 may provide or supplement the functionalityof particular circuitry.

In some embodiments, the processor 202 (and/or co-processor or any otherprocessing circuitry assisting or otherwise associated with theprocessor) may be in communication with the memory 204 via a bus forpassing information among components of the number production server.The memory 204 may be non-transitory and may include, for example, oneor more volatile and/or non-volatile memories. In other words, forexample, the memory may be an electronic storage device (e.g., anon-transitory computer readable storage medium). The memory 204 may beconfigured to store information, data, content, applications,instructions, or the like, for enabling the number production server tocarry out various functions in accordance with example embodiments ofthe present invention.

The processor 202 may be embodied in a number of different ways and may,for example, include one or more processing devices configured toperform independently. Additionally or alternatively, the processor mayinclude one or more processors configured in tandem via a bus to enableindependent execution of instructions, pipelining, and/ormultithreading. The use of the term “processing circuitry” may beunderstood to include a single core processor, a multi-core processor,multiple processors internal to the number production server, and/orremote or “cloud” processors.

In an example embodiment, the processor 202 may be configured to executeinstructions stored in the memory 204 or otherwise accessible to theprocessor 202. Alternatively or additionally, the processor 202 may beconfigured to execute hard-coded functionality. As such, whetherconfigured by hardware or by a combination of hardware with software,the processor 202 may represent an entity (e.g., physically embodied incircuitry) capable of performing operations according to an embodimentof the present invention while configured accordingly. Alternatively, asanother example, when the processor 202 is embodied as an executor ofsoftware instructions, the instructions may specifically configure theprocessor 202 to perform the algorithms and/or operations describedherein when the instructions are executed.

The number production server 200 may further include input/outputcircuitry 206 that may, in turn, be in communication with processor 202to provide output to a user and to receive input from a user, userdevice, or another source (e.g., so as receive server parameter data).In this regard, the input/output circuitry 206 may comprise a displaythat may be manipulated by a mobile application. In some embodiments,the input/output circuitry 206 may also include additional functionalitykeyboard, a mouse, a joystick, a touch screen, touch areas, soft keys, amicrophone, a speaker, or other input/output mechanisms. The processor202 and/or user interface circuitry comprising the processor 202 may beconfigured to control one or more functions of a display throughcomputer program instructions (e.g., software and/or firmware) stored ona memory accessible to the processor (e.g., memory 204, and/or thelike). It will be understood that while some embodiments describedherein may utilize a number production server 200 that employsinput/output circuitry 206, this is an optional component insofar assome other embodiments may utilize a number production server 200 thatdoes not itself have any user-facing interactions and thus may notinclude input/output circuitry 206.

The communications circuitry 208 may be any means such as a device orcircuitry embodied in either hardware or a combination of hardware andsoftware that is configured to receive and/or transmit data from/to anetwork and/or any other device, circuitry, or module in communicationwith the number production server 200. In this regard, thecommunications circuitry 208 may include, for example, a networkinterface for enabling communications with a wired or wirelesscommunication network. For example, the communications circuitry 208 mayinclude one or more network interface cards, antennae, buses, switches,routers, modems, and supporting hardware and/or software, or any otherdevice suitable for enabling communications via a network. Additionallyor alternatively, the communication interface may include the circuitryfor interacting with the antenna(s) to cause transmission of signals viathe antenna(s) or to handle receipt of signals received via theantenna(s). These signals may be transmitted by the number productionserver 200 using any of a number of wireless personal area network (PAN)technologies, such as Bluetooth® v1.0 through v3.0, Bluetooth Low Energy(BLE), infrared wireless (e.g., IrDA), ultra-wideband (UWB), inductionwireless transmission, or the like. In addition, it should be understoodthat these signals may be transmitted using Wi-Fi, Near FieldCommunications (NFC), Worldwide Interoperability for Microwave Access(WiMAX) or other proximity-based communications protocols.

Extraction circuitry 210 includes hardware components designed to selecta first parameter from a server parameter dataset and to select a secondparameter from the server parameter dataset. The extraction circuitry210 may further include hardware components designed to performpseudo-random selection of the first parameter and/or second parameter.These hardware components may, for instance, utilize elements ofprocessor 202 or memory 204 to pseudo-randomly select server parametersof the number production server 200 (e.g., processor core usagepercentage and DRAM voltage) from a dataset corresponding to a pluralityof potential server parameters of the number production server (e.g.,processor core temperature, processor core voltage, DRAM temperature,DRAM voltage, system temperature, system voltage, fan speed, processorspeed, processor core usage percentage, memory usage percentage, cacheusage percentage, or the like). Extraction circuitry 210 may utilizeprocessing circuitry, such as the processor 202, to perform itscorresponding operations, and may utilize memory 204 to store collectedinformation. By virtue of the nature of the server parameters, theserver parameter data obtained by the extraction circuitry may bereceived in binary form and may need no further transformation tofacilitate its subsequent transformation or convolution. However, thepresent disclosure contemplates that the extraction circuitry 210 mayinclude any necessary components or related circuitry, if needed, toplace the obtained values for the selected server parameters in anappropriate form for transformation or convolution.

Transformation circuitry 212 includes hardware components designed totransform or convolute a first value (corresponding to a first serverparameter) with a second value (corresponding to a second serverparameter) to generate a pseudo-random number.

Transformation circuitry 212 may utilize processing circuitry, such asthe processor 202, to perform its corresponding operations, and mayutilize memory 204 to store collected information.

Session establishment circuitry 214 includes hardware componentsdesigned to establish an authenticated session between the numberproduction server 200, the user device 106, and/or the external device110. For example, the session establishment circuitry 214 may, in someembodiments, identify a need for a pseudo-random number in response toreceiving a request for some other purpose (e.g., a request forauthentication by a user device 106) and may generate a sessionidentifier based upon a generated pseudo-random number. Sessionestablishment circuitry 214 may utilize processing circuitry, such asthe processor 202, to perform its corresponding operations, and mayutilize memory 204 to store collected information. It will be understoodthat session establishment circuitry 214 is optional insofar as someembodiments may not utilize a pseudo-random number in the context ofsession authentication and may utilize a generated pseudo-random numberfor other purposes, and such embodiments may thus have no need forsession establishment circuitry 214.

It should also be appreciated that, in some embodiments, the extractioncircuitry 210, transformation circuitry 212, or session establishmentcircuitry 214 may include a separate processor, specially configuredfield programmable gate array (FPGA), or application specific interfacecircuit (ASIC) to perform its corresponding functions.

In addition, computer program instructions and/or other type of code maybe loaded onto a computer, processor or other programmable numberproduction server's circuitry to produce a machine, such that thecomputer, processor other programmable circuitry that execute the codeon the machine create the means for implementing the various functions,including those described in connection with the components of numberproduction server 200.

As described above and as will be appreciated based on this disclosure,embodiments of the present invention may be configured as systems,methods, mobile devices, and the like. Accordingly, embodiments maycomprise various means including entirely of hardware or any combinationof software with hardware. Furthermore, embodiments may take the form ofa computer program product comprising instructions stored on at leastone non-transitory computer-readable storage medium (e.g., computersoftware stored on a hardware device). Any suitable computer-readablestorage medium may be utilized including non-transitory hard disks,CD-ROMs, flash memory, optical storage devices, or magnetic storagedevices.

Example Operations for Generating a Pseudo-Random Number

FIG. 3 illustrates a flowchart containing a series of operations forgeneration of a pseudo-random number. The operations illustrated in FIG.3 may, for example, be performed by, with the assistance of, and/orunder the control of an apparatus (e.g., number production server 200),as described above. In this regard, performance of the operations mayinvoke one or more of processor 202, memory 204, input/output circuitry206, communications circuitry 208, extraction circuitry 210,transformation circuitry 212, or session establishment circuitry 214.

As shown in operation 305, the apparatus (e.g., number production server200) includes means, such as input/output circuitry 206, communicationscircuitry 208, or the like, for receiving a request for a pseudo-randomnumber. In some example embodiments, as described above and more fullywith reference to FIG. 4 below, the communications circuitry 208 mayreceive a request for a pseudo-random number or an instruction togenerate a pseudo-random number from a user device 106 and/or anexternal device 110. By way of example, the user device 106 may requestan authorized session with the external device 110, and may request apseudo-random number from the number production server 200 to authorizethe session (e.g., serve as a session identifier). Similarly, in someembodiments, the user device 106 may receive a request for a sessionfrom an external device 110, and may request a pseudo-random number fromthe number production server 200 for use in authorizing the session. Insome other embodiments, the input/output circuitry 206 of the numberproduction server 200 may receive a request (e.g., via a direct userinput or automatically) for a pseudo-random number without input fromthe user device 106 or external device 110. For instance, theinput/output circuitry 206 may receive the request for a pseudo-randomnumber from direct user interaction with the number production server200, or the session establishment circuitry 214 may trigger the requestfor the pseudo-random number in an instance in which the numberproduction server 200 requires a pseudo-random number to complete aninternal process (such as generating a session identifier that requiresa pseudo-random number).

Thereafter, as shown in operation 310, the apparatus (e.g., numberproduction server 200) includes means, such as extraction circuitry 210or the like, for pseudo-randomly selecting a first parameter from aserver parameter dataset 112. In some example embodiments, theextraction circuitry 210 may be configured to pseudo-randomly select thefirst parameter from a plurality of parameters identified by the serverparameter dataset 112. By way of example, the extraction circuitry 210may identify various possible server parameters including but notlimited to a processor core temperature, processor core voltage, DRAMtemperature, DRAM voltage, system temperature, system voltage, fanspeed, processor speed, processor core usage percentage, memory usagepercentage, cache usage percentage, or the like from a server parameterdataset. The manner by which the extraction circuitry 210 maypseudo-randomly select a particular parameter as the first parameter tobe obtained is described hereafter.

This selection at operation 310 may be pseudo-random in that the numberproduction server 200 may utilize a pseudo-random selection technique toreduce the likelihood that the selection of the first parameter could bereproduced by a perpetrator. By way of example, in some embodiments,once a first parameter is selected, a selection frequency for eachserver parameter may be monitored such that the likelihood that anunselected parameter is selected on subsequent selections at operation310 is increased until the unselected parameter is selected as the firstparameter. As an example, in an instance in which the number productionserver's processor core usage percentage server parameter is initiallyselected as the first parameter at operation 310, the remaining serverparameters such as processor core temperature, processor core voltage,DRAM temperature, etc., may be weighted such that selection of theseserver parameters on subsequent selections of the first parameter ismore likely as compared to the processor core usage percentage. Oncethese remaining server parameters are selected as the first parameter,their corresponding weighting may decrease relative to other unselectedparameters. To duplicate this pseudo-random process, an intruder wouldneed to have insight into multiple different iterations of thepseudo-random number generation process, and even then would need todeduce the weighting scheme. While a frequency calculation procedure isoutlined above, the present disclosure contemplates that any knownpseudo-random number generation algorithm (e.g., a middle-square method,mersenne twister, inversive congruential generator, lagged Fibonaccigenerator, linear feedback shift register or the like) may additionallyor alternatively be used to pseudo-randomly select the first parameterwithout departing from the scope of the disclosure.

Thereafter, as shown in operation 315, the apparatus (e.g., numberproduction server 200) includes means, such as processor 202, memory204, input/output circuitry 206, communications circuitry 208,extraction circuitry 210, or the like, for obtaining a first value forthe first parameter. In some example embodiments, as described ingreater detail below in connection with FIG. 5, obtaining the firstvalue includes querying, by the communications circuitry, a remotelystored server parameter dataset storing one or more previously acquiredserver parameters of the number production server 200. In otherembodiments where the server parameter dataset is not stored remotely,this operation may request this first value from a memory (e.g., memory204) locally storing the server parameter dataset. In other embodiments,obtaining the first value includes generating, by extraction circuitry210 of the number production server 200, a particular server parametervalue at a time at which the request for the pseudo-random number wasreceived by the number production server. For example, if the extractioncircuitry 210 selects the processor core usage percentage as the firstparameter, the extraction circuitry 210 may record the processor coreusage percentage at that instance in time. While in some embodiments thenumber production server 200 comprises the first user device 106, asdescribed above, this operation may be more secure in an instance inwhich the server parameters and associated server parameter dataset isunknown to the user device 106 or the external device 110. Saiddifferently, the number production server may be deemed more secure dueto its location behind one or more firewalls, digital and/or physicalbarriers, (e.g., such as when the number production server 200 is housedby a banking entity) instead of being a component of the first userdevice 106.

Thereafter, as shown in operation 320, the apparatus (e.g., numberproduction server 200) includes means, such as processor 202, memory204, input/output circuitry 206, communications circuitry 208,extraction circuitry 210, or the like, for pseudo-randomly selecting asecond parameter or more additional parameters. In some exampleembodiments, the extraction circuitry 210 may be configured topseudo-randomly identify a plurality of server parameters from theserver parameter dataset 112 to select a second parameter to beobtained. Selection of a second or subsequent server parameter may beperformed in various ways similar to those described in reference topseudo-randomly selecting the first parameter at operation 310.

This selection at operation 320 may be pseudo-random in that the numberproduction server 200 may utilize pseudo-random selection techniques toensure that the selection of the second parameter may not be determinedor imitated by a perpetrator. The procedure used to pseudo-randomlyselect this second parameter may parallel the procedure used inselection of the first parameter at operation 310. For instance, in someembodiments, once a second parameter is selected, a selection frequencyfor each server parameter may be monitored such that the likelihood thatan unselected parameter is selected on subsequent selections atoperation 320 is increased until the unselected parameter is selected asthe second parameter. Said differently, in an instance in which DRAMtemperature of the number production server 200 is selected as thesecond parameter to at operation 320, the remaining server parameters(e.g., system temperature, system voltage, fan speed, etc.) may beweighted such that selection of these server parameters on subsequentselections of the second parameter are more likely than a subsequentselection of DRAM temperature. Once these remaining server parametersare selected as the second parameter, their corresponding weighting maydecrease relative to other unselected parameters. In this way, theextraction circuitry may pseudo-randomly select the second parameter.While described in reference to a frequency calculation, the presentdisclosure contemplates that any known pseudo-random number generationalgorithm (e.g., a middle-square method, mersenne twister, inversivecongruential generator, lagged Fibonacci generator, linear feedbackshift register or the like) may be used to pseudo-randomly select thesecond parameter without departing from the scope of the disclosure. Inaddition, it will be understood that selection of the second parametermay be informed by the first selected parameter, such that the sameserver parameter is not selected in both cases.

Thereafter, as shown in operation 325, the apparatus (e.g., numberproduction server 200) includes means, such as processor 202, memory204, input/output circuitry 206, communications circuitry 208, or thelike, for obtaining a second value for the second parameter or one ormore additional values for the one or more additional parameters. Insome example embodiments, as described in greater detail below inconnection with FIG. 5, obtaining the second value includes querying, bythe communications circuitry 208, a server parameter dataset storing oneor more previously acquired server parameters of the number productionserver 200. In other embodiments, obtaining the second value includesgenerating a selected server parameter at a time in which the requestfor a pseudo-random number was received by the number production server200. For example, in an instance in which the DRAM temperature is theselected second parameter, the number production server 200 may recordthe DRAM temperature at that instance in time. As shown in FIG. 3, insome embodiments, additional server parameters may be utilized togenerate the pseudo-random number. In such embodiments, the proceduremay return from operation 325 to operation 320 for selection of anadditional server parameter (and retrieval of a corresponding parametervalue). This loop may occur any number of times such that thepseudo-random number is generated based on at least two server parametervalues, but in theory may further be based in part on any number ofadditional server parameter values as well.

Thereafter, as shown in operation 330, the apparatus (e.g., numberproduction server 200) includes means, such as transformation circuitry212 or the like, for generating the pseudo-random number based on thefirst value and the second value (and any additional values generatedthrough repetition of operations 320 and 325). In some embodiments,generation of the pseudo-random number may be performed by transformingor convoluting the first value by the second value. As described abovewith reference to operations 315 and 325 above, and described further inFIG. 5 below, the first value for the first parameter and the secondvalue for the second parameter may comprise two pseudo-randomly selectednumerical values. To transform or convolute the first value by thesecond value to generate the pseudo-random number, the transformationcircuitry 212 and/or processor 202 may perform any mathematicaltransformation based on the numerical values. For example, thetransformation may, in some embodiments, comprise a multiplication ofthe first value and the second value to generate the pseudo randomnumber. Similarly, the transformation or convolution may, in someembodiments, comprise an exponential function such that the first valueis raised to the power of the second value. The present disclosurecontemplates that any number of mathematical operations and combinationsof mathematical operations (e.g., multiplication followed by anexponential function) may be used to transform or convolute the firstvalue by the second value to generate pseudo-random numbers ofnear-infinite scope and degree.

With continued reference to operation 330, in some embodiments, thetransformation circuitry 212 and/or processor 202 may perform amathematical convolution to generate the pseudo random number. As wouldbe evident to one of ordinary skill in the art in light of the presentdisclosure, mathematical convolution refers to a mathematical operationperformed on two functions (e.g., the first value and the second value)to produce a third function (e.g., the pseudo-random number) that is amodified version of one of the original functions, giving the integralof the pointwise multiplication of the two functions as a function ofthe amount that one of the original functions is translated. Thus,because of the many different mathematical transformations that might beperformed by the transformation circuitry, the transformation describedin operation 330 may in theory be used to generate pseudo-random numbersof near-infinite scope and degree such that the possibility ofdetermining the pseudo-random numbers by a perpetrator is greatlyreduced or substantially impossible.

As alluded to above, while the transformation or convolution describedherein references a first value and a second value obtained from thefirst parameter and second parameter, respectively, the presentdisclosure contemplates that any number of server parameters andassociated values may be used. For example, the number production server200 may select a third parameter from the server parameter dataset 112and a fourth parameter from the server parameter dataset 112 by asimilar method as described above with reference to operations 310 and320. The number production server 200 may then obtain a third value forthe third parameter and a fourth value for the fourth parameter by asimilar method as described with reference to operations 315 and 325.The number production server 200 may also perform any mathematicaltransformation based on the numerical first, second, third, and fourthvalues, or any combination thereof. For example, the transformation may,in some embodiments, comprise a multiplication of the first value, thesecond value, and the third value, and a division of the resultant valueby the fourth value to generate the pseudo-random number.

Turning next to FIG. 4, a flowchart is shown that describes exampleembodiments for authentication based on the pseudo-random number of FIG.3. The operations illustrated in FIG. 4 may, for example, be performedby, with the assistance of, and/or under the control of an apparatus(e.g., number production server 200), as described above. In thisregard, performance of the operations may invoke one or more ofprocessor 202, memory 204, input/output circuitry 206, communicationscircuitry 208, extraction circuitry 210, transformation circuitry 212,or session establishment circuitry 214.

In operation 405, the apparatus 100 may further include means, such asthe input/output circuitry 206, communications circuitry 208, sessionestablishment circuitry 214, or the like for receiving an instruction togenerate a session identifier from a first user device associated with afirst user. As described in general above, in some embodiments, the userdevice 106 may transmit an instruction to the number production server200 to generate a pseudo-random number. By way of example, a first userdevice may be communicably connected to an external device 110 (e.g., anonline vendor or banking entity) and may, due to the circumstancessurrounding the connection (e.g., purchasing an item, performing a wiretransfer, or the like), may request an authenticated session requiring apseudo-random number. This request may be transmitted by the user device106 as a results of a user input, but, in many cases, the user device106 may automatically transmit a request for a pseudo-random number(e.g., an initial connection to the online vendor's website, logginginto an online bank account, etc.). In embodiments where the request istransmitted by the user device 106, contextual information regarding therequest may be included in the request itself to facilitate generationof an appropriately secure session identifier. This contextualinformation may identify the counterparty for which a session will becreated, an ostensible purpose of the session identifier (e.g.,purchasing an item, performing a wire transfer, or the like), or theamount and type of private information (e.g., credit card numbers,social security numbers, bank account information, personallyidentifying information, or the like) that may be transmitted via thesession.

Thereafter, as shown in operation 410, the apparatus (e.g., numberproduction server 200) includes means, such as processor 202, memory204, communications circuitry 208, session establishment circuitry 214,or the like, for determining that the request for the session identifierrequires the pseudo-random number. This determination may be performedby the number production server 200, and associated circuitrycomponents, based upon the instructions from the first user device atoperation 405. For example, the request from the first user device 106may indicate that a pseudo-random number is necessary to serve as asession identifier to authenticate a session. Alternatively, thisdetermination may be made by the number production server 200 itself viainvolvement of the session establishment circuitry 214.

In this regard, the session establishment circuitry 214 may evaluate thereceived session identifier request and may determine from includedcontextual information a required security level for the requestedsession identifier. For instance, if the session will be for a monetarytransaction or will be used to transmit private information, then thesession establishment circuitry 214 may determine that a pseudo-randomnumber is required. Moreover, based on the significance of the economictransaction or the volume and/or sensitivity of the private information,the establishment circuitry 214 may determine the number of distinctserver parameters to utilize in generation of the pseudo-random number(e.g., two server parameters may be sufficient for an economictransaction with an aggregate value up to $100, whereas three serverparameters would be required for an economic transaction with anaggregate value from $101 to $1,000, whereas four server parameters arerequired for a transaction with an aggregate value from $1,001 to$10,000, and so forth; as another example, a typical retail transactionutilizing a credit card may require only two server parameters, whereasa wire transfer may require at least four server parameters, regardlessof the monetary value of the transactions; as another example, when onlya single type of private information is transmitted, two serverparameters may be sufficient, whereas when multiple types of privateinformation (or values for multiple individuals) are required additionalserver parameters may be required in a stepped fashion based onpredetermined thresholds of type and/or volume of private informationthat will be transmitted).

With reference to operation 415, the apparatus (e.g., number productionserver 200) includes means, such as processor 202, memory 204, sessionestablishment circuitry 214, or the like, for generating a sessionidentifier based upon the pseudo-random number (e.g., generated by theoperations of FIG. 3). In some embodiments, the session identifiercomprises the generated pseudo-random number. In such an embodiment, theresultant pseudo-random number (e.g., as generated by the operations ofFIG. 3) may by transmitted by the number production server 200 to one ormore of the user device 106 or the external device 110 as described inoperation 420 below. In other embodiments, the pseudo-random numbergenerated by the operations of FIG. 3 may be used as a data seed basedfor use in further pseudo-random number operations. For example, thegenerated pseudo-random number may be used to seed a linear congruentialgenerator (e.g., or other equivalent pseudo-random number generationalgorithms) to further complicate the process of replicating the sessionidentifier. It will be understood that any other pseudo-random numbergeneration algorithm (e.g., a middle-square method, mersenne twister,inversive congruential generator, lagged Fibonacci generator, linearfeedback shift register or the like) may be used for this purposewithout departing from the scope of the disclosure.

Thereafter, as shown in operation 420, the apparatus (e.g., numberproduction server 200) includes means, such as communications circuitry208 or the like, for transmitting the session identifier to the firstuser device 106. As described above with reference to authenticating asession, the communications circuitry 208 may transmit the sessionidentifier (based upon the pseudo-random number) to the first userdevice 106 to authenticate a session.

Turning next to FIG. 5, a flowchart is shown that describes exampleembodiments for obtaining a first value corresponding to a firstparameter and a second value corresponding to the second parameter. Theoperations illustrated in FIG. 5 may, for example, be performed by, withthe assistance of, and/or under the control of an apparatus (e.g.,number production server 200), as described above. In this regard,performance of the operations may invoke one or more of processor 202,memory 204, input/output circuitry 206, communications circuitry 208,extraction circuitry 210, transformation circuitry 212, or sessionestablishment circuitry 214.

As shown in operation 505, the apparatus 100 may further include means,such as the extraction circuitry 210 or the like for pseudo-randomlyselecting a first parameter from a server parameter dataset. Asdescribed in reference above in reference to operation 310 in FIG. 3,the extraction circuitry 210 may be configured to pseudo-randomlyidentify a plurality of parameters from the server parameter dataset 112and select a first parameter to be obtained. By way of example, theextraction circuitry 210 may identify various possible server parametersincluding but not limited to a processor core temperature, processorcore voltage, DRAM temperature, DRAM voltage, system temperature, systemvoltage, fan speed, processor speed, processor core usage percentage,memory usage percentage, cache usage percentage, or the like from aserver parameter dataset. The extraction circuitry 210 may, for example,pseudo-randomly select a processor core usage percentage as the firstparameter to be obtained.

Thereafter, as shown in operations 510 and 515, the apparatus (e.g.,number production server 200) includes means, such as memory 204,communications circuitry 208, extraction circuitry 210, or the like, forobtaining a first value for the first parameter. As shown in operation510, this first value may be retrieved from the server parameter dataset(hosted, for instance, by memory 204 or by a separate device with whichthe number production server 200 is in communication via communicationscircuitry 208) storing one or more previously acquired server parametersof the number production server 200. As shown in operation 515, thisfirst value may also be obtained by generating, by extraction circuitry210, a first parameter value in response to selection of the firstparameter. To facilitate performance of operation 510, the numberproduction server 200 may have previously periodically or atpredetermined points in time recorded various server parameters suchthat those server parameters values are available for retrieval from theserver parameter dataset.

With regard to operation 515, the number production server 200 maygenerate, by extraction circuitry 210, a first parameter value inresponse to selection of the first parameter at a time at which therequest for the pseudo-random number was received by the numberproduction server. For example, in an instance in which the processorcore usage percentage is the selected first parameter, the numberproduction server 200 may record the processor core usage percentage(e.g., at the time that this selection is made).

As shown in operation 520, the apparatus 100 may further include means,such as the extraction circuitry 210 or the like for pseudo-randomlyselecting another parameter from the server parameter dataset. Asdescribed in reference above in reference to operation 320 in FIG. 3,the extraction circuitry 210 may be configured to pseudo-randomlyidentify a plurality of parameters from the server parameter dataset 112and select one or more other parameters to be obtained. By way ofexample, the extraction circuitry 210 may identify various possibleserver parameters including but not limited to a processor coretemperature, processor core voltage, DRAM temperature, DRAM voltage,system temperature, system voltage, fan speed, processor speed,processor core usage percentage, memory usage percentage, cache usagepercentage, or the like from a server parameter dataset. The extractioncircuitry 210 may, for example, pseudo-randomly select a DRAMtemperature as the second parameter to be obtained.

Thereafter, as shown in operations 525 and 530, the apparatus (e.g.,number production server 200) includes means, such as communicationscircuitry 208, extraction circuitry 210, or the like, for retrieving acorresponding server parameter value from the server parameter datasetor by generating a corresponding server parameter value in response toselection of the parameter, respectively. Performance of theseoperations parallels performance of operations 510 and 515, describedabove. In this regard, with regard to operation 525, the communicationscircuitry 208 may query a server parameter dataset storing variousserver parameters of the number production server 200 to retrieve afirst parameter value. As described above with reference to operation510, in some embodiments, the number production server 200 mayperiodically record various server parameters and/or periodicallyretrieve said parameters from an internal diagnostics system or otherstorage (e.g., memory 204) of the number production server 200.

With regard to operation 530, the number production server 200 maygenerate, by extraction circuitry 210, a first parameter value inresponse to selection of the first parameter. For example, in aninstance in which the DRAM temperature is the selected second parameter,the number production server 200 may record the DRAM temperature (e.g.,the time this selection is made). Thereafter, as shown in operation 535,the apparatus (e.g., number production server 200) includes means, suchas processor 202, memory 204, communications circuitry 208,transformation circuitry 212, or the like, for generating thepseudo-random number based on the first parameter value and any otherretrieved or generated parameter values. It will be understood that, asdescribed in connection with FIG. 3 above, additional server parametersmay also be retrieved as determined by the session establishmentcircuitry 214, and that generation of the pseudo-random number mayperhaps be based on more than two server parameters depending on thelevel of security required by the eventual use of the pseudo-randomnumber.

As described above, various technical challenges are surmounted viatechnical solutions contemplated herein. For instance, thetransformation, and in particular convolution, of at least twopseudo-randomly-selected server parameters produces a pseudo-randomnumber that is more challenging to replicate than those produced bytraditional methods. For instance, to recreate a pseudo-random numbergenerated as described herein, a perpetrator would need to (1) access anindependently protected server (e.g., supported or otherwise protectedby authenticating entity) to extract each of the server's variousoperating parameters, (2) select the correct server parameters, and (3)learn the appropriate transformation applied using the steps describeabove. And by performing various operations contemplated herein,embodiments of the present disclosure provide improved sessionauthentication techniques by transforming at least one pseudo-randomserver parameter with another pseudo-random server parameter in order togenerate a unique seed for a pseudo-random number used to establish asecure session. By selecting one of various possible server parameters(e.g., processor core temperature, processor core voltage, DRAMtemperature, DRAM voltage, system temperature, system voltage, fanspeed, processor speed, processor core usage percentage, memory usagepercentage, cache usage percentage, or the like) and transforming orconvoluting the first server parameter data with another one of variouspossible server parameters, pseudo-random numbers of near-infinite scopeand degree can be generated that are hardened against newer and morepowerful malicious attacks that exploit the growing ubiquity of powerfulcomputing resources. In this way, the possibility of determining thepseudo-random numbers by a perpetrator are greatly reduced or madesubstantially impossible even in the face of an increasinglysophisticated globally networked environment.

FIGS. 3-5 thus illustrate flowcharts describing the operation ofapparatuses, methods, and computer program products according to exampleembodiments contemplated herein. It will be understood that eachflowchart block, and combinations of flowchart blocks, may beimplemented by various means, such as hardware, firmware, processor,circuitry, and/or other devices associated with execution of softwareincluding one or more computer program instructions. For example, one ormore of the operations described above may be implemented by anapparatus executing computer program instructions. In this regard, thecomputer program instructions may be stored by a memory 204 of thenumber production server 200 and executed by a processor 202 of thenumber production server 200. As will be appreciated, any such computerprogram instructions may be loaded onto a computer or other programmableapparatus (e.g., hardware) to produce a machine, such that the resultingcomputer or other programmable apparatus implements the functionsspecified in the flowchart blocks. These computer program instructionsmay also be stored in a computer-readable memory that may direct acomputer or other programmable apparatus to function in a particularmanner, such that the instructions stored in the computer-readablememory produce an article of manufacture, the execution of whichimplements the functions specified in the flowchart blocks. The computerprogram instructions may also be loaded onto a computer or otherprogrammable apparatus to cause a series of operations to be performedon the computer or other programmable apparatus to produce acomputer-implemented process such that the instructions executed on thecomputer or other programmable apparatus provide operations forimplementing the functions specified in the flowchart blocks.

The flowchart blocks support combinations of means for performing thespecified functions and combinations of operations for performing thespecified functions. It will be understood that one or more blocks ofthe flowcharts, and combinations of blocks in the flowcharts, can beimplemented by special purpose hardware-based computer systems whichperform the specified functions, or combinations of special purposehardware with computer instructions.

CONCLUSION

Many modifications and other embodiments of the inventions set forthherein will come to mind to one skilled in the art to which theseinventions pertain having the benefit of the teachings presented in theforegoing descriptions and the associated drawings. Therefore, it is tobe understood that the inventions are not to be limited to the specificembodiments disclosed and that modifications and other embodiments areintended to be included within the scope of the appended claims.Moreover, although the foregoing descriptions and the associateddrawings describe example embodiments in the context of certain examplecombinations of elements and/or functions, it should be appreciated thatdifferent combinations of elements and/or functions may be provided byalternative embodiments without departing from the scope of the appendedclaims. In this regard, for example, different combinations of elementsand/or functions than those explicitly described above are alsocontemplated as may be set forth in some of the appended claims.Although specific terms are employed herein, they are used in a genericand descriptive sense only and not for purposes of limitation.

What is claimed is:
 1. A method for generating pseudo-random numbers,the method comprising: receiving, by a computing device, a request for apseudo-random number; selecting, by extraction circuitry of thecomputing device, a first parameter from a server parameter dataset;obtaining a first value for the first parameter; selecting, by theextraction circuitry, at least a second parameter from the serverparameter dataset; obtaining at least a second value for the secondparameter; and generating, by transformation circuitry of the computingdevice, the pseudo-random number based on the first value and the secondvalue.
 2. The method according to claim 1, further comprising: inresponse to obtaining the second value for the second parameter,selecting, by the extraction circuitry, a third parameter from theserver parameter dataset; and obtaining a third value for the thirdparameter, wherein generating the pseudo-random number is further basedon the third value.
 3. The method according to claim 2, furthercomprising: in response to obtaining the third value for the thirdparameter, selecting, by the extraction circuitry, a fourth parameterfrom the server parameter dataset; and obtaining a fourth value for thethird parameter, wherein generating the pseudo-random number is furtherbased on the fourth value.
 4. The method according to claim 1, whereinthe server parameter dataset comprises one or more server parameterseach having independent characteristics.
 5. The method according toclaim 1, further comprising generating, by the computing device, a dataseed based on the pseudo-random number.
 6. The method according to claim1, further comprising generating, by session establishment circuitry ofthe computing device, a session identifier based upon the pseudo-randomnumber.
 7. The method according to claim 6, further comprising,transmitting, by the computing device, the session identifier to anexternal device.
 8. The method according to claim 1, wherein obtainingthe first value comprises querying, by the computing device, a serverparameter dataset storing one or more previously acquired serverparameters of the computing device.
 9. The method according to claim 1,wherein obtaining the second value comprises querying, by the computingdevice, the server parameter dataset storing one or more parameters ofthe computing device to identify a value corresponding to the selectedsecond parameter, wherein the second value comprises the identifiedvalue.
 10. The method according to claim 9, wherein obtaining the secondvalue comprises generating a value corresponding to the identifiedsecond parameter in response to selection of the second parameter. 11.An apparatus for generating pseudo-random numbers, the apparatuscomprising: extraction circuitry configured to: select a first parameterfrom a server parameter dataset, select a second parameter from theserver parameter dataset, obtain a first value for the first parameter,and obtain a second value for the second parameter; and transformationcircuitry configured to generate the pseudo-random number based on thefirst value and the second value.
 12. The apparatus according to claim11, wherein: the extraction circuitry is further configured to: select athird parameter from a server parameter dataset, obtain a third valuefor the third parameter, and the transformation circuitry is furtherconfigured to generate the pseudo-random number based on the thirdvalue.
 13. The apparatus according to claim 12, wherein: the extractioncircuitry is further configured to: select a fourth parameter from aserver parameter dataset, obtain a fourth value for the fourthparameter, and the transformation circuitry is further configured togenerate the pseudo-random number based on the fourth value.
 14. Theapparatus according to claim 11, wherein the server parameter datasetcomprises one or more server parameters each having independentcharacteristics.
 15. The apparatus according to claim 11, furthercomprising session establishment circuitry configured to generate a dataseed based on the pseudo-random number.
 16. The apparatus according toclaim 11, further comprising session establishment circuitry configuredto generate a session identifier based upon the pseudo-random number.17. The apparatus according to claim 16, wherein the apparatus isfurther configured to transmit the session identifier to an externaldevice.
 18. The apparatus according to claim 11, wherein the apparatusis further configured to query a server parameter dataset storing one ormore previously acquired server parameters of the computing device toobtain the first value.
 19. The apparatus according to claim 11, whereinthe apparatus is further configured to generate a value corresponding tothe first parameter in response to selection of the first parameter. 20.A non-transitory computer-readable storage medium for using an apparatusto generate a pseudo-random number, the non-transitory computer-readablestorage medium storing instructions that, when executed, cause theapparatus to: receive a request for a pseudo-random number; select afirst parameter from a server parameter dataset; obtain a first valuefor the first parameter; select a second parameter from a serverparameter dataset; obtain a second value for the second parameter; andgenerate the pseudo-random number based on the first value and thesecond value.